{"id":"W6887312169","doi":"10.15468/dl.wfh4mw","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001089206,0.002005088,0.001601611,0.004712108,0.0010833,0.00256949,0.002911614,0.002199048,0.1484459],"category_scores_gemma":[0.006337402,0.0009174585,0.001295966,0.008949202,0.000467619,0.002428887,0.002645501,0.002098922,0.2065298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540731,"about_ca_system_score_gemma":0.002387922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027247,"about_ca_topic_score_gemma":0.03314318,"domain_scores_codex":[0.9989051,0.0001593356,0.0001344896,0.0003848359,0.0002402206,0.0001761477],"domain_scores_gemma":[0.9973049,0.0007928272,0.0002284282,0.0007518168,0.0006307543,0.0002913611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003106884,0.00001295546,0.0003724514,0.0005404424,0.00001469201,0.00001541846,0.00002307403,0.0001328248,0.0001233286,0.0003709048,0.9969271,0.001435704],"study_design_scores_gemma":[0.00008002182,0.000009946521,0.001879345,0.0002012284,0.0000144452,0.0000387468,0.00007658876,0.0001684455,0.0002069828,0.0008065967,0.9964987,0.0000188841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005018615,0.00003132427,0.0000505357,0.00004592183,0.00001567259,0.000006752496,0.9986804,0.0004649816,0.0006543015],"genre_scores_gemma":[0.0001674913,0.00003468218,0.0002161969,0.00005164004,0.000003942083,0.00004844674,0.998857,0.0001530381,0.0004674684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8515541,"threshold_uncertainty_score":0.496601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}